Bill360 is a fintech startup revolutionizing the landscape for B2B Accounts Receivable teams. As B2B companies seek digital solutions to streamline their order-to-cash processes, Bill360 delivers innovative AR products built on an API-first platform. Our solutions equip AR teams with powerful tools to enhance customer relationships and accelerate payment cycles.
We’re seeking an experienced Senior Product Manager (Data Analytics & AI) to own and evolve our data platform and AI capabilities. This is a strategic role focused on building data-driven products and enabling internal and customer-facing intelligence across our fintech ecosystem. You’ll work cross-functionally with data scientists, engineers, product teams, and business stakeholders to drive initiatives that unlock the value of data at scale.
Bill360 is unable to support requirements for remote work in the following states:
California Colorado Hawaii New York Nevada Oregon Rhode Island Washington

QUALIFICATIONS:

• 5+ years of product management experience, with at least 2+ in data, analytics, or AI/ML product roles.
• Proven track record of building and scaling data platforms, analytics dashboards, or AI-driven features in SaaS environments.
• Solid understanding of modern data stack tools and ML/AI frameworks.
• Strong technical fluency - able to work closely with engineers and data scientists and bridge business and technical domains.
• Experience in fintech or financial services is strongly preferred.
• Excellent communication, prioritization, and stakeholder management skills.
• Experience with generative AI applications in SaaS.

• Product Strategy & Vision
• Define and evolve the roadmap for data analytics, reporting, and AI capabilities within the platform.
• Translate business goals into actionable, data-powered product features.
• Stay ahead of trends in fintech, AI, and data engineering to drive innovation.
• Execution & Delivery
• Work with engineering to scope, prioritize, and deliver data and AI product initiatives.
• Own product lifecycle management - from discovery to delivery and post-launch optimization.
• Work with the UX team to design and launch customer-facing dashboards, insights engines, recommendation systems, or automation features powered by AI.
• Collaboration & Leadership
• Partner with Data Science, Engineering, Design, and other PMs to deliver cross-functional initiatives.
• Work closely with stakeholders (Sales, Customer Success, Compliance, etc.) to gather feedback and align product goals.
• Serve as the voice of the user for all analytics and AI capabilities.
• Handle additional assignments as requested by the manager.
• User & Market Research
• Conduct research and validation with users to uncover analytics needs and opportunities.
• Benchmark against competitors and lead competitive intelligence efforts on AI and data features.